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3rd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

Record Type:	Electronic resources : Monograph/item
Title/Author:	3rd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computingedited by Anandakumar Haldorai ... [et al.].
other author:	Haldorai, Anandakumar.
corporate name:
Published:	Cham :Springer International Publishing :2022.
Description:	xii, 250 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Soft computingCongresses.
Online resource:	https://doi.org/10.1007/978-3-030-78750-9
ISBN:	9783030787509$q(electronic bk.)

3rd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing
3rd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing[electronic resource] /edited by Anandakumar Haldorai ... [et al.]. - Cham :Springer International Publishing :2022. - xii, 250 p. :ill., digital ;24 cm. - EAI/Springer innovations in communication and computing,2522-8609. - EAI/Springer innovations in communication and computing..

1 A Hybrid Algorithm for Document Clustering Using Optimized Kernel Matrix and Unsupervised Constraints -- 2 A Multi-Objective Optimal Trajectory Planning for Autonomous Vehicles using Dragonfly Algorithm -- 3 A Novel Coherent Architecture for Traffic Signal Management in Internet of Things -- 4 Color-to-Grayscale conversion for images with non-uniform chromatic distribution using Multiple Regression -- 5 Concurrent Spatial Color Information Processing for Video Based Vehicle Detection Applications -- 6 Efficient Routing Strategies For Energy Management in Wireless Sensor Network -- 7 Emperor Penguin Optimization Algorithm and M-Treebased multi-constraint Mul-ticast Ad hoc On demand Distance Vector Routing Protocol for MANETs -- 8 Fog Assisted Real-Time Coronary Heart Disease Risk Detection in IoT Based Healthcare System -- 9 Food Demand Forecast For Online Food Delivery Service Using CatBoost Model -- 10 GLCM Feature Based Texture image classification using Support vector Machine -- 11 Improved Rider Optimization Algorithm-based Link Aware Fault Detection (IROA-LAFD) scheme for securing Mobile Ad Hoc Networks (MANETs) -- 12 Media Access Protocol for Wireless Sensor Network using Active Reception Scheme Based Energy Efficient Technique -- 13 Predictive Crime Analytics Using Linear Regression and K means -- 14 Reorganizing Virtual Machines as Docker Containers for Efficient Data Centers -- 15 Secured On Demand Adaptive Routing protocol for Data Transmission in IoT Environment -- 16 Service Measurement Index based Cloud Service Selection using Order Preference by Similarity to Ideal Solution based on Intuitionistic Fuzzy Values -- 17 Similarity analytics for semantic text using Natural Language Processing -- Author Index.

This book features the proceedings of The EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2020), which took place 18 - 19 December 2020. The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on technologies from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform.

ISBN: 9783030787509$q(electronic bk.)

Standard No.: 10.1007/978-3-030-78750-9doiSubjects--Topical Terms:

387156
Soft computing
--Congresses.

LC Class. No.: QA76.9.S63 / E195 2020

Dewey Class. No.: 006.3

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505 0 $a 1 A Hybrid Algorithm for Document Clustering Using Optimized Kernel Matrix and Unsupervised Constraints -- 2 A Multi-Objective Optimal Trajectory Planning for Autonomous Vehicles using Dragonfly Algorithm -- 3 A Novel Coherent Architecture for Traffic Signal Management in Internet of Things -- 4 Color-to-Grayscale conversion for images with non-uniform chromatic distribution using Multiple Regression -- 5 Concurrent Spatial Color Information Processing for Video Based Vehicle Detection Applications -- 6 Efficient Routing Strategies For Energy Management in Wireless Sensor Network -- 7 Emperor Penguin Optimization Algorithm and M-Treebased multi-constraint Mul-ticast Ad hoc On demand Distance Vector Routing Protocol for MANETs -- 8 Fog Assisted Real-Time Coronary Heart Disease Risk Detection in IoT Based Healthcare System -- 9 Food Demand Forecast For Online Food Delivery Service Using CatBoost Model -- 10 GLCM Feature Based Texture image classification using Support vector Machine -- 11 Improved Rider Optimization Algorithm-based Link Aware Fault Detection (IROA-LAFD) scheme for securing Mobile Ad Hoc Networks (MANETs) -- 12 Media Access Protocol for Wireless Sensor Network using Active Reception Scheme Based Energy Efficient Technique -- 13 Predictive Crime Analytics Using Linear Regression and K means -- 14 Reorganizing Virtual Machines as Docker Containers for Efficient Data Centers -- 15 Secured On Demand Adaptive Routing protocol for Data Transmission in IoT Environment -- 16 Service Measurement Index based Cloud Service Selection using Order Preference by Similarity to Ideal Solution based on Intuitionistic Fuzzy Values -- 17 Similarity analytics for semantic text using Natural Language Processing -- Author Index.
520 $a This book features the proceedings of The EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2020), which took place 18 - 19 December 2020. The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on technologies from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform.
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